Ryuji Hamamoto (Ph.D.)
Team Leader


  • Team Leader
    Ryuji Hamamoto
  • Research Scientist
    Ken Asada
  • Research Scientist
    Masaaki Komatsu
  • Postdoctoral Researcher
    Satoshi Takahashi
  • Postdoctoral Researcher
    Ken Takasawa
  • Technical Staff I
    Hiroko Kondo
  • Technical Staff I
    Norio Shinkai
  • Technical Staff I
    Shigemi Yamada


Laboratory's photo

We are conducting multimodal analysis of the omics data such as genome data, epigenome data, medical imaging data [CT, MRI, PET, endoscopy, pathology], proteome data, micro RNA data, cell line data, PDX [Patient-Derived Xenografts] data and clinical information in various types of cancers by machine learning and deep learning to clarify the nature of cancer. On the basis of our findings, we plan to develop novel diagnostic and therapeutic methods for cancer, and will also use them to develop novel anti-cancer drugs.

Main Research Field
Molecular Biology & Genetics
Research Field
Biology & Biochemistry / Immunology / Clinical Medicine / Computer Science
Research Subjects
Analysis of histone modification status in cancer tissues by machine learning and deep learning
Analysis of medical imaging data by machine learning and deep learning
Multi-omics analysis of cancer by machine learning and deep learning

[Poster] FY2018 Research Results (Written in Japanese)

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posted on September 18, 2018 14:00Pressrelease